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Prof. dr. Anja Volk

Professor 
Science
Information and computing sciences
Interaction
Music Information Computing
Music Information Computing
Minnaertgebouw
Leuvenlaan 4
Kamer 415
3584 CE Utrecht

Prof. dr. Anja Volk

Professor
Music Information Computing
+31 30 253 5965
a.volk@uu.nl
Profile Publications Activities In the media Research Teaching Ancillary activities Public outreach - in the media Contact
Profile Publications Activities In the media Research Teaching Ancillary activities Public outreach - in the media Contact
Areas of expertise
Research areas

Publications

2024

Scholarly publications

Müller, M., Dixon, S., Volk, A., Sturm, B. L. T., Rao, P., & Gotham, M. (2024). Introducing the TISMIR Education Track: What, Why, How? Transactions of the International Society for Music Information Retrieval, 7(1), 85-98. https://doi.org/10.5334/tismir.199

2023

Scholarly publications

Volk, A., Veldhuis, T., Foubert, K., & de Backer, J. (2023). Towards Computational Music Analysis for Music Therapy. In Proceedings of the 24th Intternal Society for Music Information Retrieval Conference, Milan, Italy, 2023. (pp. 247-256). ISMIR press. https://doi.org/10.5281/zenodo.10265269
https://dspace.library.uu.nl/bitstream/handle/1874/436540/000028.pdf?sequence=1
Volk, A., Hakvoort, L., Schaefer, R. S., Chalkiadakis, E., & Bakkes, S. (2023). Developing and Evaluating a Musical Attention Control Training Game Application. In R. Bresin, & K. Falkenberg (Eds.), SMC 2023 - Proceedings of the Sound and Music Computing Conference 2023 (pp. 261-268). (Proceedings of the Sound and Music Computing Conferences; Vol. 2023-June).
https://dspace.library.uu.nl/bitstream/handle/1874/431617/SMC2023_Volk_etal.pdf?sequence=1

2021

Scholarly publications

Odekerken, D., Koops, H. V., & Volk, A. (2021). Improving Audio Chord Estimation by Alignment and Integration of Crowd-Sourced Symbolic Music. Transactions of the International Society for Music Information Retrieval, 4(1), 141-155. https://doi.org/10.5334/tismir.81
Agres, K. R., Schaefer, R. S., Volk, A., van Hooren, S., Holzapfel, A., Dalla Bella, S., Mülller, M., de Witte, M., Herremans, D., Ramirez Melendez, R., Neerincx, M., Ruiz, S., Meredith, D., Dimitriadis, T., & Magee, W. L. (2021). Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being. Music & Science, 4, 1-32. https://doi.org/10.1177/2059204321997709
Weiß, C., Zalkow, F., Arifi-Müller, F., Müller, M., Koops, H. V., Volk, A., & Grohganz, H. G. (2021). Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis. Journal on Computing and Cultural Heritage, 14(2), 1-18. https://doi.org/10.1145/3429743

2020

Scholarly publications

Selway, A., Koops, H. V., Volk, A., Bretherton, D., Gibbins, N., & Polfreman, R. (2020). Explaining harmonic inter-annotator disagreement using Hugo Riemann's theory of ‘harmonic function’. Journal of New Music Research, 49(2), 136-150. https://doi.org/10.1080/09298215.2020.1716811
Laugs, C., Koops, H. V., Odijk, D., Kaya, H., & Volk, A. (2020). The Influence of Blind Source Separation on Mixed Audio Speech and Music Emotion Recognition. 67-71. Paper presented at ICMI 2020 Late Breaking Results, Utrecht, Netherlands. https://doi.org/10.1145/3395035.3425252
Proutskova, P., Volk, A., Heidarian, P., & Fazekas, G. (2020). From Music Ontology Towards Ethno-Music-Onthology. In Proceedings of 21st International Society for Music Information Retrieval Conference (ISMIR 2020) (pp. 923-931). ISMIR press.
https://dspace.library.uu.nl/bitstream/handle/1874/414749/323.pdf?sequence=1

2019

Scholarly publications

Koops, H. V., de Haas, W. B., Burgoyne, J. A., Bransen, J., Kent-Muller, A., & Volk, A. (2019). Annotator subjectivity in harmony annotations of popular music. Journal of New Music Research, 48(3). https://doi.org/10.1080/09298215.2019.1613436
Melkonian, O., Ren, Y., Swierstra, W. S., & Volk, A. (2019). What Constitutes a Musical Pattern? An Empirical Investigation using Haskell. In FARM 2019: Proceedings of the 7th ACM SIGPLAN International Workshop on Functional Art, Music, Modeling, and Design
van Kranenburg, P., de Bruin, M., & Volk, A. (2019). Documenting a song culture: The Dutch Song Database as a Resource for Musicological Research. International Journal on Digital Libraries, 20, 13-23. https://doi.org/10.1007/s00799-017-0228-4

2018

Scholarly publications

Koops, H. V., de Haas, W. B., Bransen, J., & Volk, A. (2018). Automatic chord label personalization through deep learning of shared harmonic interval profiles. Neural Computing and Applications, 1-11. https://doi.org/10.1007/s00521-018-3703-y
Ren, Y., Koops, H. V., Bountouridis, D., Volk, A., Swierstra, W. S., & Veltkamp, R. C. (2018). Feature analysis of repeated patterns in Dutch folk songs using Principal Component Analysis. In A. Holzapfel, & A. Pikrakis (Eds.), Proceedings of the 8th International Workshop on Folk Music Analysis (FMA2018) (pp. 86-88). Aristotle University of Thessaloniki.
https://dspace.library.uu.nl/bitstream/handle/1874/373973/fma_proceedings_2018_94_95.pdf?sequence=1
Ren, Y., Volk, A., Swierstra, W. S., & Veltkamp, R. C. (2018). Analysis by classification: A comparative study of annotated and algorithmically extracted patterns in symbolic music data. 539-546. Paper presented at The 19th International Society for Music Information Retrieval Conference, Paris, France. http://ismir2018.ircam.fr/doc/pdfs/75_Paper.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/373956/ren.pdf?sequence=1
Ren, Y., Nieto, O., Koops, H. V., Volk, A., & Swierstra, W. S. (2018). Investigating Musical Pattern Ambiguity in a Human Annotated Dataset.
https://dspace.library.uu.nl/bitstream/handle/1874/373437/icmpc2018v2.pdf?sequence=1

2017

Scholarly publications

Koops, H. V., Haas, W. B. D., Bransen, J., & Volk, A. (2017). Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations. In Proceedings of the First International Workshop on Deep Learning and Music https://doi.org/10.13140/RG.2.2.22227.99364/1
Koops, H. V., Garg, K., Kim, M., Li, J., Volk, A., & Franchetti, F. (2017). Prediction of Quadcopter State through Multi-Microphone Side-Channel Fusion. (Technical report / Department of Information and Computing Sciences; Vol. 2017, No. 1). Utrecht University.
https://dspace.library.uu.nl/bitstream/handle/1874/358661/2017_001.pdf?sequence=1
Koops, H. V., de Haas, W. B., Burgoyne, J. A., Bransen, J., & Volk, A. (2017). Harmonic Subjectivity in Popular Music. (Technical Report Series; No. UU-CS-2017-018). UU BETA ICS Departement Informatica.
https://dspace.library.uu.nl/bitstream/handle/1874/358652/2017_018.pdf?sequence=1
Koops, H. V., Garg, K., Kim, M., Li, J., Volk, A., & Franchetti, F. (2017). Multirotor UAV state prediction through multi-microphone side-channel fusion. In 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017, Daegu, Korea (South), November 16-18, 2017 (pp. 15-21) https://doi.org/10.1109/MFI.2017.8170401
de Valk, R., Volk, A., Holzapfel, A., Pikrakis, A., Kroher, N., & Six, J. (2017). MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives. In 4th International workshop on Digital Libraries for Musicology Association for Computing Machinery . https://doi.org/10.1145/3144749
https://dspace.library.uu.nl/bitstream/handle/1874/358642/p25_de_Valk.pdf?sequence=1
Janssen, B., van Kranenburg, P., & Volk, A. (2017). Finding occurrences of melodic segments in folk songs employing symbolic similarity measures. Journal of New Music Research, 46(2), 118-134. https://doi.org/10.1080/09298215.2017.1316292
https://dspace.library.uu.nl/bitstream/handle/1874/354817/finding.pdf?sequence=1
Odekerken, D., Volk, A., & Koops, H. V. (2017). Rhythmic Patterns in Ragtime and Jazz. In I. Barbancho, L. Tardón, & A. Peinado (Eds.), Proceedings of the 7th International Workshop on Folk Music Analysis: 14-16 June 2017, Málaga, Spain (pp. 44-49). (FMA Proceedings; Vol. 7).
https://dspace.library.uu.nl/bitstream/handle/1874/354841/OdekerkenVolkKoops2017.pdf?sequence=1
Ren, I. Y., Koops, H. V., Volk, A., & Swierstra, W. (2017). In Search Of The Consensus Among Musical Pattern Discovery Algorithms. In X. Hu, S. J. Cunningham, D. Turnbull, & Z. Duan (Eds.), Proceedings of the 18th International Society for Music Information Retrieval Conference: October 23 - 27, 2017 Suzhou, China (pp. 671-678). ISMIR press. https://ismir2017.smcnus.org/proceedings/
https://dspace.library.uu.nl/bitstream/handle/1874/355260/8.pdf?sequence=1
Koops, H. V., de Haas, W. B., Bransen, J., & Volk, A. (2017). Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations. In D. Herremans, & C.-H. Chuan (Eds.), Proceedings of the first International Workshop on Deep Learning and Music (pp. 19-25). (Proceedings of the International Workshop on Deep Learning and Music; Vol. 1).. https://doi.org/10.13140/RG.2.2.22227.99364/1

Other output

Koops, H. V., de Haas, W. B., Volk, A., Bransen, J., & Burgoyne, J. A. (2017). Chordify Annotator Subjectivity Dataset. International Society for Music Information Retrieval Conference 2017, Suzhou, China. https://ismir2017.smcnus.org/lbds/Koops2017.pdf

2016

Scholarly publications

van Kranenburg, P., Janssen, B., & Volk, A. (2016). The Meertens Tune Collections: The Annotated Corpus (MTC-ANN) Versions 1.1 and 2.0.1. (Meertens Online Reports; Vol. 2016, No. 1). Meertens instituut KNAW.
https://dspace.library.uu.nl/bitstream/handle/1874/346322/Meertens.pdf?sequence=1
Volk, A. (Guest ed.), Chew, E. (Guest ed.), Margulis, E. H. (Guest ed.), & Anagnostopoulou, C. (Guest ed.) (2016). Special Issue: Music similarity: Concepts, Cognition and Computation. Journal of New Music Research, 45(3).
Volk, A., Chew, E., Margulis, E. H., & Anagnostopoulou, C. (2016). Music similarity: Concepts, Cognition, and Computation. Journal of New Music Research, 45(3), 207-209. https://doi.org/10.1080/09298215.2016.1232412
https://dspace.library.uu.nl/bitstream/handle/1874/340330/Music_Similarity_Concepts_Cognition_and_Computation.pdf?sequence=1
Koops, H. V., de Haas, W. B., Bountouridis, D., & Volk, A. (2016). Integration And Quality Assessment Of Heterogeneous Chord Sequences Using Data Fusion. In International Society for Music Information Retrieval Conference (pp. 178-184)
https://dspace.library.uu.nl/bitstream/handle/1874/340352/integration.pdf?sequence=1
Boot, P., Volk, A., & de Haas, W. B. (2016). Evaluating the Role of Repeated Patterns in Folk Song Classification and Compression. Journal of New Music Research, 45(3), 223-238. https://doi.org/10.1080/09298215.2016.1208666
https://dspace.library.uu.nl/bitstream/handle/1874/339975/Evaluating_the_Role_of_Repeated_Patterns_in_Folk_Song_Classification_and_Compression.pdf?sequence=1
de Haas, W. B., & Volk, A. (2016). Meter Detection in Symbolic Music Using Inner Metric Analysis. In International Society for Music Information Retrieval Conference (pp. 441).
https://dspace.library.uu.nl/bitstream/handle/1874/344553/033_Paper.pdf?sequence=1

2015

Scholarly publications

Koops, H. V., Volk, A., & de Haas, W. B. (2015). Corpus-Based Rhythmic Pattern Analysis of Ragtime Syncopation. In M. Müller, & F. Wiering (Eds.), Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015 (pp. 483-489). Article 241 ISMIR press.
https://dspace.library.uu.nl/bitstream/handle/1874/326596/ISMIR2015.pdf?sequence=1
Collins, T., Meredith, D., & Volk, A. (Eds.) (2015). Mathematics and Computation in Music: 5th International Conference, MCM 2015, London, UK, June 22-25, 2015, Proceedings. (Lecture Notes in Artificial Intelligence; Vol. 9110), (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-20603-5
Janssen, B., van Kranenburg, P., & Volk, A. (2015). A comparison of symbolic similarity measures for finding occurrences of melodic segments. In Proceedings of the 16th ISMIR Conference, Málaga, Spain, October 26-30, 2015 (pp. 659-665). ISMIR press. http://ismir2015.uma.es/articles/124_Paper.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/321370/Janssen_etal_Proceedings.pdf?sequence=1
Rodríguez López, M. E., Bountouridis, D., & Volk, A. (2015). Novel Music Segmentation Interface and the Jazz Tune Collection. In Proceedings of the 5th International Workshop on Folk Music Analysis (pp. 99-105). CNRS. http://fma2015.sciencesconf.org/conference/fma2015/FMA2015_OfficialProceedings.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/321365/Novel_Music_Segmentation_Interface_and_the_Jazz_Tune_Collection.pdf?sequence=2
Rodríguez López, M. E., & Volk, A. (2015). Location Constraints for Repetition-Based Segmentation of Melodies. In Proceedings of the 5th International Conference in Mathematics and Computation in Music (MCM) (pp. 73-84). (Lecture Notes in Computer Science; Vol. 9110). Springer. http://link.springer.com/chapter/10.1007%2F978-3-319-20603-5_7
Rodríguez López, M. E., & Volk, A. (2015). On the Evaluation of Automatic Segment Boundary Detection. In Music, Mind, Embodiment: Proceedings of the 11th International Symposium on Computer Music Multidisciplinary Research (CMMR) (pp. 234-246). LMA publications. http://www.projects.science.uu.nl/music/rodriguez/rodriguezCMMR15.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/327301/rodriguezCMMR15.pdf?sequence=1
Rodríguez López, M. E., & Volk, A. (2015). Selective Acquisition Techniques for Enculturation-Based Melodic Phrase Segmentation. In Proceedings of the 16th Conference of the International Society for Music Information Retrieval (ISMIR) (pp. 218-224). ISMIR press. http://ismir2015.uma.es/articles/319_Paper.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/327300/rodriguezISMIR2015.pdf?sequence=1

Other output

Koops, H. V., Volk, A., & de Haas, W. B. (2015). A Corpus-Based Approach to Computational Feature Design of Ragtime Syncopation. Poster session presented at 15th Rhythm Perception and Production workshop, Amsterdam, Netherlands. http://rppw.org/

2014

Scholarly publications

Rodríguez López, M. E., de Haas, B., & Volk, A. (2014). Comparing repetition-based melody segmentation models. In Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM14) (pp. 143-148). SIMPK and ICCMR. http://www.projects.science.uu.nl/music/rodriguez/rodriguezCIM14.pdf
Rodríguez López, M. E., & Volk, A. (2014). Symbolic Segmentation: A Corpus-Based Analysis of Melodic Phrases. In Sound, Music, and Motion: Post Proceedings of the 10th international symposium, CMMR 2013 (pp. 548-557). (Lecture notes in computer science; Vol. 8495). Springer. https://doi.org/10.1007/978-3-319-12976-1_33
Rodríguez López, M. E., Volk, A., & Bountouridis, D. (2014). Multi-strategy Segmentation of Melodies. In Proceedings of the 15th Conference of the International Society for Music Information Retrieval (ISMIR 2014) (pp. 207-212). ISMIR press. http://www.terasoft.com.tw/conf/ismir2014/proceedings/T038_294_Paper.pdf
Honingh, A., Burgoyne, J. A., van Kranenburg, P., & Volk, A. (2014). Strengthening Interdisciplinarity in MIR: Four Examples of Using MIR Tools for Musicology. ( ILLC Publications, Prepublication Series; Vol. PP 2014-18). University of Amsterdam. http://www.illc.uva.nl/Research/Publications/Reports/
Volk, A. (2014). Rhythmic patterns as constituents of the Ragtime genre. In EuroMac Leuven http://issuu.com/europeanmusicanalysis/docs/abstracts
Akimoto, C., Volk, A., van Blitterswijk, M. M., van den Broeck, M., Leblond, C. S., Lumbroso, S., Camu, W., Neitzel, B., Onodera, O., van Rheenen, W., Pinto, S., Weber, M., Smith, B., Proven, M., Talbot, K., Keagle, P., Chesi, A., Ratti, A., van der Zee, J., ... Kubisch, C. (2014). A blinded international study on the reliability of genetic testing for GGGGCC-repeat expansions in C9orf72 reveals marked differences in results among 14 laboratories. Journal of Medical Genetics, 51(6), 419-424. http://www.ncbi.nlm.nih.gov/pubmed/24706941

Other output

Rodríguez López, M. E., & Volk, A. (2014). Melodic Segmentation Across Cultural Traditions and Styles. Abstract from Digital Humanities Conference Benelux, Den Haag, Netherlands.
https://dspace.library.uu.nl/bitstream/handle/1874/303795/cross.pdf?sequence=1
Volk, A., & de Haas, B. (2014). Patterns in Ragtime: A computational study in Digital Humanities. Paper presented at Digital Humanities Conference Benelux, Den Haag, Netherlands.
https://dspace.library.uu.nl/bitstream/handle/1874/303789/RagtimeDH_Benelux.pdf?sequence=1

2013

Scholarly publications

Rodríguez López, M. E., & Volk, A. (2013). Symbolic Segmentation: A Corpus-Based Analysis of Melodic Phrases. In 10th International Symposium on Computer Music Multidisciplinary Research (CMMR) (pp. 381-388) http://www.projects.science.uu.nl/music/rodriguez/rodriguezCMMR13.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/289643/MRodriguez-CMMR13-corrected.pdf?sequence=1
van Kranenburg, P., Volk, A., & Wiering, F. (2013). A comparison between global and local features for computational classification of folk song melodie. Journal of New Music Research, 42(1), 1-18.
Jansen, B., de Haas, W. B., Volk, A., & van Kranenburg, P. (2013). Discovering repeated patterns in music: state of knowledge, challenges, perspectives. In 10th International Symposium on Computer Music Multidisciplinary Research (CMMR)
de Haas, W. B., Volk, A., & Wiering, F. (2013). Structural segmentation of music based on repeated harmonies. In Proceedings of the International Symposium on Multimedia (pp. 255-258). IEEE. https://doi.org/10.1109/ISM.2013.48
https://dspace.library.uu.nl/bitstream/handle/1874/289639/ISM2013-Segment_camera_ready.pdf?sequence=1
van Kranenburg, P., Anagnostopoulou, C., & Volk, A. (2013). Proceedings of the Third International Workshop on Folk Music Analysis. Meertens Institute and Utrecht University Department of Information and Computing Sciences.
https://dspace.library.uu.nl/bitstream/handle/1874/276246/fma2013_proceedings.pdf?sequence=1
Volk, A., & de Haas, W. B. (2013). A corpus-based study on ragtime syncopation. In Proceedings of the International Society for Music Information Retrieval Conference https://doi.org/10.5281/zenodo.1415846

Professional publications

Volk, A. (2013). Musikalische Variation und Ähnlichkeit: Ein Plädoyer für interdisziplinäre Musikforschung. In Wahrnehmung – Erkenntnis – Vermittlung. Musikwissenschaftliche Brückenschläge. Georg Olms Verlag.

Other output

Honingh, A., & Volk, A. (2013). Computationele muziekwetenschap: Een nieuw perspectief op muziek. Web publication/site, De Groene Amsterdammer. http://blogs.groene.nl/geesteswetenschappers/?p=1010
Volk, A., de Haas, W. B., & Rodriguez Lopez, M. E. (2013). Segmentation Methods for Symbolic Music Similarity Research. Paper presented at Fourth International Conference on Mathematics and Computation in Music, Montreal, Canada.

2012

Scholarly publications

Volk, A. (2012). Variation and data richness. In 19th International Musicological Society Congress http://www.staff.science.uu.nl/ wieri103/StudyGroup/ims2012/
van Kranenburg, P., Volk, A., & Wiering, F. (2012). On Identifying Folk Song Melodies Employing Recurring Motifs. In Proceedings of the 12th International Conference on Music Perception and Cognition (pp. 1057-1062). Aristotle University of Thessaloniki. http://icmpc-escom2012.web.auth.gr/sites/default/files/papers/1057_Proc.pdf
Biro, D., van Kranenburg, P., Ness, S., Tzanetakis, G., & Volk, A. (2012). Stability and Variation in Cadence Formulas in Oral and Semi-Oral Chant Traditions - a Computational Approach. In Proceedings of the 12th International Conference on Music Perception and Cognition (pp. 98-105). Aristotle University of Thessaloniki. http://icmpc-escom2012.web.auth.gr/sites/default/files/papers/98_Proc.pdf
Volk, A., & van Kranenburg, P. (2012). Melodic similarity among folk songs: An annotation study on similarity-based categorization in music. Musicae Scientiae, 16(3), 317-339. http://msx.sagepub.com/content/16/3/317
Volk, A. (2012). Modelling music similarity in MUSIVA: addressing interdisciplinary challenges of computational humanities. In New Trends in e-Humanities e-Humanities Group of KNAW. http://www.ehumanities.nl/wp-webuploads/Presentation_Volk_eHumanities.pdf
Volk, A., de Haas, W. B., & van Kranenburg, P. (2012). Towards Modelling Variation in Music as a Foundation for Similarity. In Proceedings of the 12th International Conference on Music Perception and Cognition (pp. 1085-1094). Aristotle University of Thessaloniki. http://icmpc-escom2012.web.auth.gr/sites/default/files/papers/1085_Proc.pdf
Rodríguez López, M. E., & Volk, A. (2012). Melodic Segmentation Using the Jensen-Shannon Divergence. In Proceedings of the 11th International Conference on Machine Learning and Applications (ICMLA) (pp. 351-356). IEEE. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6406818&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6406818
Biro, D., van Kranenburg, P., Ness, S., Tzanetakis, G., & Volk, A. (2012). On Computational Transcription and Analysis of Candences in Oral and Semi-Oral Chant Traditions. In Proceedings of the Second International Conference on Analytical Approaches To World Music, Vancouver, Canada University of British Columbia. http://www.aawmconference.com/aawm2012/papers/biro_p.pdf
Volk, A., & Honingh, A. (2012). Mathematical and computational approaches to music: challenges in an interdisciplinary enterprise. Journal of Mathematics and Music, 6(2), 73-81. http://www.tandfonline.com/doi/full/10.1080/17459737.2012.704154
Volk, A. (2012). ICT voor muziekonderzoek: kansen en uitdagingen. In SURF onderzoekdsdag 2012 SURF. http://www.surf.nl/nl/themas/openonderzoek/ozdag/Documents/SURFozdag_BeeldGeluid_AnjaVolk.pdf
Volk, A., & Honingh, A. (2012). Special Issue: Mathematical and Computational Approaches to Music: Three Methodological Reflections. Journal of Mathematics and Music, 6(2). http://www.tandfonline.com/toc/tmam20/6/2

2011

Scholarly publications

Volk, A., Wiering, F., & van Kranenburg, P. (2011). Unfolding the Potential of Computational Musicology. In 13th International Conference on Informatics and Semiotics in Organisations (pp. 137-144).
van Kranenburg, P., Wiering, F., & Volk, A. (2011). On Operationalizing the Musicological Concept of Tune Family for Computational Modeling. In SDH 2011 Supporting Digital Humanities: Answering the unaskable

Professional publications

Volk, A. (2011). Musikalische Informatik. In W. Wolfgang Auhagen (Ed.), Systematische Musikwissenschaft (Kompendien Musik, Band 9) (pp. 141-153). Laaber Verlag.

Other output

Volk, A., & Wiering, F. (2011). Musicology. 18. Abstract from Unknown event. http://ismir2011.ismir.net/tutorials/ISMIR2011-Tutorial-Musicology.pdf

2009

Scholarly publications

Wiering, F., Veltkamp, R. C., Garbers, J., Volk, A., van Kranenburg, P., & Grijp, L. P. (2009). Modelling Folksong Melodies. Interdisciplinary Science Reviews, 34(2-3), 154-171.
van Kranenburg, P., Volk, A., Wiering, F., & Veltkamp, R. C. (2009). Musical Models for Folk-Song Melody Alignment. In Proceedings of the 10th International Society for Music Information Retrieval Conference (pp. 507-512). International Society for Music Information Retrieval. http://ismir2009.ismir.net/proceedings/PS3-20.pdf

2008

Scholarly publications

Volk, A., Garbers, J., van Kranenburg, P., Wiering, F., Grijp, L. P., & Veltkamp, R. C. (2008). A manual annotation method for melodic similarity and the study of melody feature sets. In J. P. Bello, E. Chew, & D. Turnbull (Eds.), Proceedings of the Ninth International Conference on Music Information Retrieval. (ISMIR) (pp. 101-106)
Volk, A., & Chew, E. (2008). Reconsidering the Affinity between Metric and Tonal Structures in Brahms' Capriccio Op. 76, No. 8. Computing in Musicology, 15, 138-171.
de Nooijer, J., Wiering, F., Volk, A., & Tabachneck-Schijf, H. J. M. (2008). Cognition-based segmentation for music information retrieval systems. In C. Tsougras, & R. Parncutt (Eds.), Proceedings of the Fourth Conference on Interdisciplinary Musicology (CIM08) Aristotle University of Thessaloniki. http://web.auth.gr/cim08/cim08_papers/Nooijer-Wiering/Nooijer-Wiering.pdf
Volk, A. (2008). Persistence and Change: Local and Global Components of Meter Induction using Inner Metric Analysis. Journal of Mathematics and Music, 2:2, 99-115.
Volk, A., van Kranenburg, P., Garbers, J., Wiering, F., Veltkamp, R. C., & Grijp, L. P. (2008). The Study of Melodic Similarity using Manual Annotation and Melody Feature Sets. (UU-CS ed.) UU WINFI Informatica en Informatiekunde. http://www.cs.uu.nl/research/techreps/UU-CS-2008-013.html
Volk, A. (2008). The Generation of Metric Hierarchies using Inner Metric Analysis. (UU-CS ed.) UU WINFI Informatica en Informatiekunde. http://www.cs.uu.nl/research/techreps/repo/CS-2008/2008-006.pdf

2007

Scholarly publications

van Kranenburg, P., Garbers, J., Volk, A., Wiering, F., Grijp, L. P., & Veltkamp, R. C. (2007). Towards Integration of MIR and Folk Song Research. In Proceedings of the 8th International Conference on Music Information Retrieval (pp. 505-508). Austrian Computer Society.
van Kranenburg, P., Garbers, J., Volk, A., Wiering, F., Grijp, L. P., & Veltkamp, R. C. (2007). Towards Integration of Music Information Retrieval and Folk Song Research. (UU-CS ed.) UU WINFI Informatica en Informatiekunde. http://www.cs.uu.nl/research/techreps/UU-CS-2007-016.html
Volk, A., Garbers, J., van Kranenburg, P., Wiering, F., Grijp, L. P., & Veltkamp, R. C. (2007). Comparing computational approaches to rhythmic and melodic similarity in folksong research. In Proceedings of the first international conference of the Society of Mathematics and Computation in Music https://doi.org/10.1007/978-3-642-04579-0_8
Garbers, J., van Kranenburg, P., Volk, A., Wiering, F., Grijp, L., & Veltkamp, R. C. (2007). Using Pitch Stability among a Group of Aligned Query Melodies to Retrieve Unidentified Variant Melodies. In S. Dixon, D. Bainbridge, & R. Typke (Eds.), Proceedings of the Eighth International Conference on Music Information Retrieval (pp. 451-456) http://ismir2007.ismir.net/proceedings/ISMIR2007_p451_garbers.pdf
Garbers, J., Volk, A., van Kranenburg, P., Wiering, F., Grijp, L., & Veltkamp, R. C. (2007). On pitch and chord stability in folk song variation retrieval. In Proceedings of the First International Conference of the Society for Mathematics and Computation in Music (to be published) http://www.cs.uu.nl/people/garbers/ISMIR2007/
Volk, A., Garbers, J., van Kranenburg, P., Wiering, F., Grijp, L. P., & Veltkamp, R. C. (2007). Applying Rhythmic Similarity Based on Inner Metric Analysis to Folksong Research. In S. Dixon, D. Bainbridge, & R. Typke (Eds.), Proceedings of the Eighth International Conference on Music Information Retrieval. (ISMIR) (pp. 293-296)

Other output

Wiering, F., Garbers, J., van Kranenburg, P., Volk, A., Grijp, L. P., & Veltkamp, R. V. (2007). (Re-)Searching Folksong Melodies. 34. Abstract from Unknown event, Asilomar, USA.

2006

Scholarly publications

van Kranenburg, P., Garbers, J., Volk, A., Wiering, F., Grijp, L. P., & Veltkamp, R. C. (2006). Composer Attribution by Quantifying Compositional Strategies. In Proceedings of the Seventh International Conference on Music Information Retrieval (pp. 375-376). University of Victoria.
Garbers, J., van Kranenburg, P., Volk, A., Wiering, F., Grijp, L. P., Veltkamp, R. C., & de Bruin, M. (2006). The WITCHCRAFFT Baseline Measurement and Pilot Project. (UU-CS ed.) UU WINFI Informatica en Informatiekunde.
https://dspace.library.uu.nl/bitstream/handle/1874/24620/garbers_06_witchcraft.pdf?sequence=1

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